Inria Chile continues its development in South America. In recent years, with Claude Puech at the helm, she has strengthened her network of contacts and has set up partnerships with investment structures to accelerate the creation of strategies in Chile. Appointed on September 1st as Director, Nayat Sanchez Pi intends to pursue this strategy and implement an ambitious settlement project that includes opening to French partners, the revitalization of the transfer policy and the establishment of a sustainable economic model.

Thirty years ago, the Web was set up to meet an ever-growing need to organise and access information. As a founding member for Europe of the W3C, Inria take a look back at the birth of the Web as both a research subject and a tool, assessing the problems that continue to be raised.

Capitalizing on five years of research-collaboration success, Mitacs and Inria renewed their partnership originally signed in 2014. The memorandum of understanding (MOU) supports two-way international research opportunities for graduate researchers at Canadian universities and at eight Inria Research Centres in France.

The CNIL (French Data Protection Authority) and Inria have awarded the 2017 "privacy protection" Prize to a European research team. During the 11th international conference Computers Privacy and Data Protection
(CPDP) to Seda GÜRSES, Carmela TRONCOSO and Claudia DIAZ for their article « Engineering privacy by design reloaded
».

The CCSD (Centre for Direct Scientific Communication) and Software Heritage have announced their collaboration beginning early 2018: it will enable the data repository in HAL to be extended to software and, as a result, contribute to the recognition of the work of research software developers.

Facebook is investing an additional 10 million Euros and doubling the Facebook AI Research (FAIR) team in order to accelerate research on artificial intelligence in France. As a result, Facebook's European hub is strengthening its partnership with Inria.

Facebook is investing an additional 10 million Euros and doubling the Facebook AI Research (FAIR) team in order to accelerate research on artificial intelligence in France. As a result, Facebook's European hub is strengthening its partnership with Inria.

InriaSoft aims for the durable development of large-scale software programs by bringing together their user communities within consortia that will finance a team of engineers tasked with their maintenance and evolution. The InriaSoft headquarters are based in Rennes, as Claude Labit, director, and David Margery, technical director of this national action backed by the Fondation Inria, explain.

Understanding the human visual system: the PARIETAL project team publishes new results

The PARIETAL project team, in partnership with Telecom ParisTech has published a paper entitled: “Seeing it all: Convolutional network layers map the function of the human visual system”, which reveals that models used by computer for image recognition have much in common with the human brain.

Studies of human vision and research into computer vision are carried out in two separate, yet mutually aware, worlds. In the PARIETAL project team, Michael Eickenberg, Gaël Varoquaux and Bertrand Thirion, in partnership with Alexandre Gramfort (Telecom ParisTech), studied the relationship between the human brain and artificial-intelligence models that solve the same image interpretation problems on a computer.
Research has shown that computer vision, which is artificially created, shares certain properties with the human brain.

Gaël Varoquaux explains: " We have shown that the best models developed so far in the field of image recognition by computers have a similar architecture
the human brain, and that these models can be used to map the human visual system more and more effectively
.”

Historically, there has always been much back and worth between studies of the human brain and those in artificial intelligence, since both objects solve the same problem and are guided by the nature of images. The results obtained by the PARIETAL team show that the more progress is made in research, the closer the resemblance between artificial intelligence technology and the mechanisms of the brain with regard to image recognition.

“We do know that artificial image recognition models lack some of the mechanisms found in the brain, in particular when it comes to understanding ambiguous images. These models are not intended to be carbon copies of the brain and, when used to study the brain, they are only approximations. We have nevertheless shown that they are good approximations
, because the results capture many aspects of the brain and generalise throughout many experiments,”
Gaël Varoquaux concludes.